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Authors: Giuseppe Pascale and Luigi Troiano

Affiliation: RCOST - Faculty of Engineering, University of Sannio, Italy

Keyword(s): Image Registration, Genetic Algorithms.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems ; Evolutionary Programming

Abstract: Image registration aims to find the unknown set of transformations able to reduce two or more images to a common reference frame. Image registration can be regarded as an optimization problem, where the goal is to maximize a measure of image similarity. The measure of similarity on the overall image can be computationally expensive, leading to measure the similarity of smaller subimages. However, the reduction of subimage size results into a higher multi-modality for the optimizing function. Recent investigations have shown that genetic algorithms can address this problem. However, the simple scheme of genetic algorithms can still fall in local optima. In this paper, we explore the application of niche-oriented genetic algorithms, showing their strengths in providing a more effective image registration algorithm.

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Paper citation in several formats:
Pascale, G. and Troiano, L. (2007). A NICHE BASED GENETIC ALGORITHM FOR IMAGE REGISTRATION. In Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-972-8865-89-4; ISSN 2184-4992, SciTePress, pages 342-347. DOI: 10.5220/0002382003420347

@conference{iceis07,
author={Giuseppe Pascale. and Luigi Troiano.},
title={A NICHE BASED GENETIC ALGORITHM FOR IMAGE REGISTRATION},
booktitle={Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2007},
pages={342-347},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002382003420347},
isbn={978-972-8865-89-4},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - A NICHE BASED GENETIC ALGORITHM FOR IMAGE REGISTRATION
SN - 978-972-8865-89-4
IS - 2184-4992
AU - Pascale, G.
AU - Troiano, L.
PY - 2007
SP - 342
EP - 347
DO - 10.5220/0002382003420347
PB - SciTePress

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